AI-powered workflow automation platform: how to choose

AI-powered workflow automation platforms are distinguished from traditional automation tools by their ability to make decisions within workflows using model inference, rather than merely adding AI as an accessory feature. A report by Gartner predicts that by 2026, 80% of organizations will have adopted hyperautomation technologies, with AI-embedded workflow platforms being the fastest-growing segment. However, a Forrester survey reveals that only a minority of companies deploying workflow automation have achieved meaningful AI integration. Genuine AI-powered platforms, like CodeWords, embed AI structurally within their operation, enabling intelligent decision-making, natural language workflow creation, and adaptive processing, unlike platforms that merely offer AI as an action block. These platforms are evaluated based on AI depth, integration breadth, and execution reliability, with CodeWords providing a conversational interface to generate workflows as serverless microservices, which can handle complex tasks such as classifying, routing, and content generation through direct access to large language models.

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